tol.org

Transitions Online is a media development organization and online journal covering news and events in the 29 post-Communist countries of Eastern Europe, Central Europe, South Eastern Europe, Russia, the Baltics, the Caucasus, Central Asia. More information...

Multilingual Wikipedia

In June 2020 the website tol.org was on the 40,204th place in the ranking of the most reliable and popular sources in multilingual Wikipedia from readers' point of view (PR-score). If we consider only frequency of appearance of this source in references of Wikipedia articles (F-score), this website was on the 26,394th place in June 2020. From Wikipedians' point of view, "tol.org" is the 36,338th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before pakistani.pk and after editionsladecouverte.fr in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
40,204th place
573,108
-98,739
AR-score:
36,338th place
91,160
+470
F-score:
26,394th place
379
+2

English Wikipedia (en)

PR-score:
26,371st place
462,275
-79,237
AR-score:
22,643rd place
65,616
+179
F-score:
20,077th place
169
0

Russian Wikipedia (ru)

PR-score:
46,907th place
27,699
-9,573
AR-score:
67,066th place
1,895
+47
F-score:
26,828th place
18
+1

German Wikipedia (de)

PR-score:
67,784th place
16,008
+867
AR-score:
74,738th place
3,082
+12
F-score:
35,619th place
13
0

Spanish Wikipedia (es)

PR-score:
81,189th place
10,865
+137
AR-score:
108,763rd place
1,010
+6
F-score:
31,219th place
13
0

Arabic Wikipedia (ar)

PR-score:
13,426th place
10,021
-46
AR-score:
12,179th place
3,776
0
F-score:
11,874th place
17
0

French Wikipedia (fr)

PR-score:
151,464th place
2,488
-384
AR-score:
121,874th place
1,153
+13
F-score:
32,013th place
16
0

Turkish Wikipedia (tr)

PR-score:
28,954th place
1,752
-92
AR-score:
15,168th place
1,671
+83
F-score:
11,093rd place
7
+1
Show all Wikipedia languages...

BestRef shows popularity and reliability scores for sources in references of Wikipedia articles in different languages. Data extraction based on complex method using Wikimedia dumps. To find the most popular and reliable sources we used information about over 200 million references of Wikipedia articles. More details...